Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection

Smartphone-Based Electrochemical Analytical Devices (SEAD) enable sophisticated toxic heavy metal quantification experiments to be conducted anywhere with high precision, selectivity, and sensitivity. However, a very limited number of such technologies are able to make the transition from the lab to...

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Autores principales:	Wasapon Thanabodypath, Achara Chandrachai, Sudkate Chaiyo, Orawon Chailapakul
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	innovation adoption model portable electrochemical analytical devices predicting technology adoption industrial consumer behavior industrial contaminants Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/2c81bb355d2d482e94085a94c150bf69
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spelling	oai:doaj.org-article:2c81bb355d2d482e94085a94c150bf692021-11-11T19:26:34ZIndustrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection10.3390/su1321117182071-1050https://doaj.org/article/2c81bb355d2d482e94085a94c150bf692021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11718https://doaj.org/toc/2071-1050Smartphone-Based Electrochemical Analytical Devices (SEAD) enable sophisticated toxic heavy metal quantification experiments to be conducted anywhere with high precision, selectivity, and sensitivity. However, a very limited number of such technologies are able to make the transition from the lab to the competitive B2B marketplace. The purpose of this paper is to examine the factors influencing SEAD adoption in the manufacturing industry using the Industrial Buyer Innovation Adoption (IBIA) model, which integrates B2B consumer behavior theories and technology acceptance models from the past 50 years. Analysis of data collected from 400 corporations in Thailand revealed that sellers, buyers, internal organization and invented technology advantage variables predicted industrial innovation adoption based on binary logistic regression. This research contributes to the understanding of SEAD transition from scientific knowledge to sustainable technology and diffusible innovation. The ambitious IBIA framework is potentially an alternative managerial tool for holistically assessing and creating adoptable innovative business models for new technologies.Wasapon ThanabodypathAchara ChandrachaiSudkate ChaiyoOrawon ChailapakulMDPI AGarticleinnovation adoption modelportable electrochemical analytical devicespredicting technology adoptionindustrial consumer behaviorindustrial contaminantsEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11718, p 11718 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	innovation adoption model portable electrochemical analytical devices predicting technology adoption industrial consumer behavior industrial contaminants Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	innovation adoption model portable electrochemical analytical devices predicting technology adoption industrial consumer behavior industrial contaminants Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Wasapon Thanabodypath Achara Chandrachai Sudkate Chaiyo Orawon Chailapakul Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection
description	Smartphone-Based Electrochemical Analytical Devices (SEAD) enable sophisticated toxic heavy metal quantification experiments to be conducted anywhere with high precision, selectivity, and sensitivity. However, a very limited number of such technologies are able to make the transition from the lab to the competitive B2B marketplace. The purpose of this paper is to examine the factors influencing SEAD adoption in the manufacturing industry using the Industrial Buyer Innovation Adoption (IBIA) model, which integrates B2B consumer behavior theories and technology acceptance models from the past 50 years. Analysis of data collected from 400 corporations in Thailand revealed that sellers, buyers, internal organization and invented technology advantage variables predicted industrial innovation adoption based on binary logistic regression. This research contributes to the understanding of SEAD transition from scientific knowledge to sustainable technology and diffusible innovation. The ambitious IBIA framework is potentially an alternative managerial tool for holistically assessing and creating adoptable innovative business models for new technologies.
format	article
author	Wasapon Thanabodypath Achara Chandrachai Sudkate Chaiyo Orawon Chailapakul
author_facet	Wasapon Thanabodypath Achara Chandrachai Sudkate Chaiyo Orawon Chailapakul
author_sort	Wasapon Thanabodypath
title	Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection
title_short	Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection
title_full	Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection
title_fullStr	Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection
title_full_unstemmed	Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection
title_sort	industrial buyer innovation adoption model: a focus on a smartphone-based electrochemical analytical device for toxic heavy metal detection
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2c81bb355d2d482e94085a94c150bf69
work_keys_str_mv	AT wasaponthanabodypath industrialbuyerinnovationadoptionmodelafocusonasmartphonebasedelectrochemicalanalyticaldevicefortoxicheavymetaldetection AT acharachandrachai industrialbuyerinnovationadoptionmodelafocusonasmartphonebasedelectrochemicalanalyticaldevicefortoxicheavymetaldetection AT sudkatechaiyo industrialbuyerinnovationadoptionmodelafocusonasmartphonebasedelectrochemicalanalyticaldevicefortoxicheavymetaldetection AT orawonchailapakul industrialbuyerinnovationadoptionmodelafocusonasmartphonebasedelectrochemicalanalyticaldevicefortoxicheavymetaldetection
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Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection

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